code: def test_as_array_produces_token_sequence(self):
      indexer = TokenCharactersIndexer("characters")
      padded_tokens = indexer.pad_token_sequence(
          {"k": [[1, 2, 3, 4, 5], [1, 2, 3], [1]]},
          desired_num_tokens={"k": 4},
          padding_lengths={"num_token_characters": 10},
      )
      assert padded_tokens == {
          "k": [
              [1, 2, 3, 4, 5, 0, 0, 0, 0, 0],
              [1, 2, 3, 0, 0, 0, 0, 0, 0, 0],
              [1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
          ]
      }
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/data/token_indexers/character_token_indexer_test.py
imports: from __future__ import absolute_import
  from collections import defaultdict
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Token, Vocabulary
  from allennlp.data.token_indexers import TokenCharactersIndexer
  from allennlp.data.tokenizers.character_tokenizer import CharacterTokenizer
label_desc: Use image node_id 2 for calling the CharacterTokenIndexerTest obj's underlying member method code with example usage: obj.test_as_array_produces_token_sequence() without return types